A survey of practical adversarial example attacks. - Lu Sun; Mingtian Tan; Zhe Zhou 001 (Cybersecur., 2018)

Embedding is not Cipher: Understanding the risk of embedding leakages. - Zhe Zhou 001; Mingtian Tan (CoRR, 2019)

The Many-faced God: Attacking Face Verification System with Embedding and Image Recovery. - Mingtian Tan; Zhe Zhou 001; Zhou Li 001 (ACSAC, 2021)

Invisible Probe: Timing Attacks with PCIe Congestion Side-channel. - Mingtian Tan; Junpeng Wan; Zhe Zhou 001; Zhou Li 001 (SP, 2021)

Play the Imitation Game: Model Extraction Attack against Autonomous Driving Localization. - Qifan Zhang 002; Junjie Shen 001; Mingtian Tan; Zhe Zhou 001; Zhou Li 001; Qi Alfred Chen; Haipeng Zhang 004 (ACSAC, 2022)

Mitigating Membership Inference Attacks via Weighted Smoothing. - Mingtian Tan; Xiaofei Xie; Jun Sun 001; Tianhao Wang 001 (ACSAC, 2023)

Backdoor Attack through Machine Unlearning. - Peixin Zhang 001; Jun Sun 001; Mingtian Tan; Xinyu Wang 001 (CoRR, 2023)

A Somewhat Robust Image Watermark against Diffusion-based Editing Models. - Mingtian Tan; Tianhao Wang 001; Somesh Jha (CoRR, 2023)

Language Models Still Struggle to Zero-shot Reason about Time Series. - Mike A. Merrill; Mingtian Tan; Vinayak Gupta; Thomas Hartvigsen; Tim Althoff (EMNLP (Findings), 2024)

Are Language Models Actually Useful for Time Series Forecasting? - Mingtian Tan; Mike A. Merrill; Vinayak Gupta; Tim Althoff; Tom Hartvigsen (NeurIPS, 2024)

Inferring Event Descriptions from Time Series with Language Models. - Mingtian Tan; Mike A. Merrill; Zack Gottesman; Tim Althoff; David Evans; Tom Hartvigsen (CoRR, 2025)